43 citations · 79 across the 8 of their papers we have counts for
8 papers
Sibyl: Forecasting Time-Evolving Query Workloads
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi +6
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries…
ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges
Tarique Siddiqui, Wentao Wu
The scale and complexity of workloads in modern cloud services have brought into sharper focus a critical challenge in automated index tuning -- the need to recommend high-quality…
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Data analysis often involves comparing subsets of data across many dimensions for finding unusual trends and patterns. While the comparison between subsets of data can be expressed…
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings
Tarique Siddiqui, Alekh Jindal, Shi Qiao +2
Query processing over big data is ubiquitous in modern clouds, where the system takes care of picking both the physical query execution plans and the resources needed to run those…
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
Tarique Siddiqui, Zesheng Wang, Paul Luh +2
Identifying trendline visualizations with desired patterns is a common and fundamental data exploration task. Existing visual analytics tools offer limited flexibility and expressi…
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems
Doris Jung-Lin Lee, John Lee, Tarique Siddiqui +3
Visual query systems (VQSs) empower users to interactively search for line charts with desired visual patterns, typically specified using intuitive sketch-based interfaces. Despite…
Optimally Leveraging Density and Locality to Support LIMIT Queries
Albert Kim, Liqi Xu, Tarique Siddiqui +3
Existing database systems are not optimized for queries with a LIMIT clause---operating instead in an all-or-nothing manner. In this paper, we propose a fast LIMIT query evaluation…
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System
Tarique Siddiqui, Albert Kim, John Lee +2
Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual analytics tools are r…